\u30b0\u30e9\u30d5\u4f5c\u6210\u306e\u57fa\u672c<\/h2>\n\n\n\n

\u30b0\u30e9\u30d5\u8868\u793a\u3059\u308bPython\u30b9\u30af\u30ea\u30d7\u30c8\u3067\u3059\u3002\u3053\u308c\u304c\u57fa\u672c\u5f62\u3068\u306a\u308a\u307e\u3059\u3002<\/p>\n\n\n\n

import math\nimport numpy as np\nfrom matplotlib import pyplot\n\nx = np.linspace(0, 2*math.pi, 100) # 0\u304b\u30892\u03c0\u307e\u3067\u3092100\u7b49\u5206\u3057\u305f\u70b9\u8981\u7d20\u3092\u4f5c\u6210\ny = np.sin(x) # \u30b5\u30a4\u30f3\u6ce2\u3092\u4f5c\u6210\n\npyplot.plot(x, y) # 2\u6b21\u5143\u30b0\u30e9\u30d5\u3092\u4f5c\u6210\npyplot.show() # \u30b0\u30e9\u30d5\u8868\u793a<\/code><\/pre><\/div>\n\n\n\n
\u307e\u305a\u3001matplot\u30e9\u30a4\u30d6\u30e9\u30ea\u3092\u30a4\u30f3\u30dd\u30fc\u30c8\u3057\u307e\u3059\u3002\u6b21\u306b\u30b0\u30e9\u30d5\u8868\u793a\u3059\u308b\u95a2\u6570\u3092\u6307\u5b9a\u3002\u6700\u5f8c\u306b\u8868\u793a\u3068\u3044\u3063\u305f\u6d41\u308c\u3067\u3059\u3002<\/p>\n\n\n\n
<\/figure>\n\n\n\n
\u30b0\u30e9\u30d5\u8981\u7d20\u306e\u8ffd\u52a0\u30fb\u5909\u66f4\u65b9\u6cd5<\/h2>\n\n\n\n
\u524d\u7ae0\u306e\u30b0\u30e9\u30d5\u304b\u3089\u8981\u7d20\u3092\u8ffd\u52a0\u30fb\u5909\u66f4\u3057\u3066\u3044\u304f\u65b9\u6cd5\u3092\u7d39\u4ecb\u3057\u307e\u3059\u3002<\/p>\n\n\n\n
\u30b0\u30e9\u30d5\u30bf\u30a4\u30c8\u30eb\u306e\u8ffd\u52a0\u65b9\u6cd5<\/h3>\n\n\n\n
import math\nimport numpy as np\nfrom matplotlib import pyplot\n\nx = np.linspace(0, 2*math.pi, 100) # 0\u304b\u30892\u03c0\u307e\u3067\u3092100\u7b49\u5206\u3057\u305f\u70b9\u8981\u7d20\u3092\u4f5c\u6210\ny = np.sin(x) # \u30b5\u30a4\u30f3\u6ce2\u3092\u4f5c\u6210\n\npyplot.plot(x, y) # 2\u6b21\u5143\u30b0\u30e9\u30d5\u3092\u4f5c\u6210\npyplot.title('\u30b5\u30a4\u30f3\u6ce2\u5f62', fontname='MS Gothic') # \u30b0\u30e9\u30d5\u30bf\u30a4\u30c8\u30eb\u3092\u6307\u5b9a\n\npyplot.show() # \u30b0\u30e9\u30d5\u8868\u793a<\/code><\/pre><\/div>\n\n\n\n
\u300cpyplot.title(‘\u30b0\u30e9\u30d5\u30bf\u30a4\u30c8\u30eb’)<\/span>\u300d\u3092\u8a18\u8ff0\u3059\u308b\u3053\u3068\u3067\u3001\u30b0\u30e9\u30d5\u30bf\u30a4\u30c8\u30eb\u304c\u8ffd\u52a0\u3055\u308c\u307e\u3059\u3002<\/p>\n\n\n\n
<\/figure>\n\n\n\n
\n
\u65e5\u672c\u8a9e\u3092\u8868\u793a\u3059\u308b\u5834\u5408\u306f\u3001\u300cfontname=’\u30d5\u30a9\u30f3\u30c8\u540d’<\/span>\u300d\u3092\u5f15\u6570\u3067\u6307\u5b9a\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n\n\n\n
\u3069\u3093\u306a\u65e5\u672c\u8a9e\u30d5\u30a9\u30f3\u30c8\u304c\u4f7f\u7528\u3067\u304d\u308b\u304b\u306f\u3001\u300cC:\\Users\\[\u30e6\u30fc\u30b6\u30fc\u540d]\\.matplotlib\\fontlist-v330.json\u300d\u30d5\u30a1\u30a4\u30eb\u3067\u78ba\u8a8d\u3067\u304d\u307e\u3059\u3002<\/p>\n<\/div>\n\n\n\n
\u8ef8\u8981\u7d20\u306e\u8ffd\u52a0\u30fb\u5909\u66f4\u65b9\u6cd5<\/h3>\n\n\n\n
import math\nimport numpy as np\nfrom matplotlib import pyplot\n\nx = np.linspace(0, 2*math.pi, 100) # 0\u304b\u30892\u03c0\u307e\u3067\u3092100\u7b49\u5206\u3057\u305f\u70b9\u8981\u7d20\u3092\u4f5c\u6210\ny = np.sin(x) # \u30b5\u30a4\u30f3\u6ce2\u3092\u4f5c\u6210\n\npyplot.plot(x, y) # 2\u6b21\u5143\u30b0\u30e9\u30d5\u3092\u4f5c\u6210\npyplot.title('\u30b5\u30a4\u30f3\u6ce2\u5f62' ,fontname='MS Gothic') # \u30b0\u30e9\u30d5\u30bf\u30a4\u30c8\u30eb\u3092\u6307\u5b9a\npyplot.xlabel('\u6642\u9593' ,fontname='MS Gothic') # X\u8ef8\u30e9\u30d9\u30eb\u3092\u6307\u5b9a\npyplot.ylabel('\u5024' ,fontname='MS Gothic') # Y\u8ef8\u30e9\u30d9\u30eb\u3092\u6307\u5b9a\npyplot.xlim(0, 2*math.pi) # X\u8ef8\u6700\u5c0f\u5024\u30fb\u6700\u5927\u5024\u3092\u6307\u5b9a\npyplot.ylim(-1, 1) # Y\u8ef8\u6700\u5c0f\u5024\u30fb\u6700\u5927\u5024\u3092\u6307\u5b9a\n\npyplot.show() # \u30b0\u30e9\u30d5\u8868\u793a<\/code><\/pre><\/div>\n\n\n\n
<\/figure>\n\n\n\n
\u8ef8\u30e9\u30d9\u30eb\u306e\u8ffd\u52a0\u65b9\u6cd5<\/h4>\n\n\n\n
X\u8ef8\u30e9\u30d9\u30eb\u306f\u300cpyplot.xlabel(‘X\u8ef8\u30e9\u30d9\u30eb\u540d’)<\/span>\u300d\u3001Y\u8ef8\u30e9\u30d9\u30eb\u306f\u300cpyplot.ylabel(‘Y\u8ef8\u30e9\u30d9\u30eb\u540d’)<\/span>\u300d\u3092\u8a18\u8ff0\u3059\u308b\u3053\u3068\u3067\u8ffd\u52a0\u51fa\u6765\u307e\u3059\u3002<\/p>\n\n\n\n
\u8ef8\u6700\u5c0f\u5024\u30fb\u6700\u5927\u5024\u306e\u5909\u66f4\u65b9\u6cd5<\/h4>\n\n\n\n
X\u8ef8\u6700\u5c0f\u5024\u306f\u3001\u300cpyplot.xlim(‘\u6700\u5c0f\u5024’, ‘\u6700\u5927\u5024’)\u300d<\/span>\u3001Y\u8ef8\u6700\u5927\u5024\u306f\u3001\u300cpyplot.xlim(‘\u6700\u5c0f\u5024’, ‘\u6700\u5927\u5024’)<\/span>\u300d\u3092\u8a18\u8ff0\u3059\u308b\u3053\u3068\u3067\u5909\u66f4\u51fa\u6765\u307e\u3059\u3002<\/p>\n\n\n\n
\u51e1\u4f8b\u306e\u8ffd\u52a0\u65b9\u6cd5<\/h3>\n\n\n\n
import math\nimport numpy as np\nfrom matplotlib import pyplot\n\nx = np.linspace(0, 2*math.pi, 100) # 0\u304b\u30892\u03c0\u307e\u3067\u3092100\u7b49\u5206\u3057\u305f\u70b9\u8981\u7d20\u3092\u4f5c\u6210\ny = np.sin(x) # \u30b5\u30a4\u30f3\u6ce2\u3092\u4f5c\u6210\nz = np.cos(x) # \u30b3\u30b5\u30a4\u30f3\u6ce2\u3092\u4f5c\u6210\n\npyplot.plot(x, y, label='sin')\npyplot.plot(x, z, label='cos')\n\npyplot.title('\u30b5\u30a4\u30f3\u6ce2\u5f62' ,fontname='MS Gothic') # \u30b0\u30e9\u30d5\u30bf\u30a4\u30c8\u30eb\u3092\u6307\u5b9a\npyplot.xlabel('\u6642\u9593' ,fontname='MS Gothic') # X\u8ef8\u30e9\u30d9\u30eb\u3092\u6307\u5b9a\npyplot.ylabel('\u5024' ,fontname='MS Gothic') # Y\u8ef8\u30e9\u30d9\u30eb\u3092\u6307\u5b9a\npyplot.xlim(0, 2*math.pi) # X\u8ef8\u6700\u5c0f\u5024\u30fb\u6700\u5927\u5024\u3092\u6307\u5b9a\npyplot.ylim(-1, 1) # Y\u8ef8\u6700\u5c0f\u5024\u30fb\u6700\u5927\u5024\u3092\u6307\u5b9a\npyplot.legend() # \u51e1\u4f8b\u3092\u8ffd\u52a0\n\npyplot.show() # \u30b0\u30e9\u30d5\u8868\u793a<\/code><\/pre><\/div>\n\n\n\n
\u51e1\u4f8b\u3092\u8ffd\u52a0\u3059\u308b\u306b\u306f\u3001\u307e\u305a\u300cpyplot.plot(\u2019X\u8ef8\u8981\u7d20’, ‘Y\u8ef8\u8981\u7d20’, label=’\u30b0\u30e9\u30d5\u540d’)<\/span>\u300d\u3092\u8a18\u8ff0\u3057\u3001\u51e1\u4f8b\u540d\u3092\u6307\u5b9a\u3057\u307e\u3059\u3002\u300cpyplot.legend()<\/span>\u300d\u3092\u8a18\u8ff0\u3059\u308b\u3053\u3068\u3067\u3001\u51e1\u4f8b\u304c\u56f3\u306b\u8868\u793a\u3055\u308c\u307e\u3059\u3002<\/p>\n\n\n\n
<\/figure>\n\n\n\n
\u30b0\u30e9\u30d5\u7dda\u8272\u306e\u5909\u66f4\u65b9\u6cd5<\/h3>\n\n\n\n
import math\nimport numpy as np\nfrom matplotlib import pyplot\n\nx = np.linspace(0, 2*math.pi, 100) # 0\u304b\u30892\u03c0\u307e\u3067\u3092100\u7b49\u5206\u3057\u305f\u70b9\u8981\u7d20\u3092\u4f5c\u6210\ny = np.sin(x) # \u30b5\u30a4\u30f3\u6ce2\u3092\u4f5c\u6210\nz = np.cos(x) # \u30b3\u30b5\u30a4\u30f3\u6ce2\u3092\u4f5c\u6210\n\npyplot.plot(x, y, label='sin', color='green')\npyplot.plot(x, z, label='cos', color='purple')\n\npyplot.title('\u30b5\u30a4\u30f3\u6ce2\u5f62' ,fontname='MS Gothic') # \u30b0\u30e9\u30d5\u30bf\u30a4\u30c8\u30eb\u3092\u6307\u5b9a\npyplot.xlabel('\u6642\u9593' ,fontname='MS Gothic') # X\u8ef8\u30e9\u30d9\u30eb\u3092\u6307\u5b9a\npyplot.ylabel('\u5024' ,fontname='MS Gothic') # Y\u8ef8\u30e9\u30d9\u30eb\u3092\u6307\u5b9a\npyplot.xlim(0, 2*math.pi) # X\u8ef8\u6700\u5c0f\u5024\u30fb\u6700\u5927\u5024\u3092\u6307\u5b9a\npyplot.ylim(-1, 1) # Y\u8ef8\u6700\u5c0f\u5024\u30fb\u6700\u5927\u5024\u3092\u6307\u5b9a\npyplot.legend() # \u51e1\u4f8b\u3092\u8ffd\u52a0\n\npyplot.show() # \u30b0\u30e9\u30d5\u8868\u793a<\/code><\/pre><\/div>\n\n\n\n
\u30b0\u30e9\u30d5\u7dda\u8272\u306e\u5909\u66f4\u306f\u300cpyplot.plot(‘X\u8ef8\u8981\u7d20’, ‘Y\u8ef8\u8981\u7d20’, color=’\u30b0\u30e9\u30d5\u306e\u8272’)<\/span>\u300d\u3092\u8a18\u8ff0\u3057\u307e\u3059\u3002<\/p>\n\n\n\n
<\/figure>\n\n\n\n
\u307e\u3068\u3081<\/h2>\n\n\n\n
Python\u306ematplotlib\u30e9\u30a4\u30d6\u30e9\u30ea\u3067\u30b0\u30e9\u30d5\u3092\u4f5c\u6210\u3059\u308b\u65b9\u6cd5\u306b\u3064\u3044\u3066\u7d39\u4ecb\u3057\u307e\u3057\u305f\u3002<\/p>\n\n\n\n
\n
\u7d39\u4ecb\u3057\u305f\u5185\u5bb9\u3092\u304a\u3055\u3089\u3044\u3059\u308b\u3068<\/p>\n\n\n\n
\u30b0\u30e9\u30d5\u4f5c\u6210\u306e\u57fa\u672c<\/li>
\u30b0\u30e9\u30d5\u30bf\u30a4\u30c8\u30eb\u306e\u8ffd\u52a0\u65b9\u6cd5<\/li>
\u8ef8\u30e9\u30d9\u30eb\u306e\u8ffd\u52a0\u65b9\u6cd5<\/li>
\u8ef8\u6700\u5c0f\u5024\u30fb\u6700\u5927\u5024\u306e\u5909\u66f4\u65b9\u6cd5<\/li>
\u51e1\u4f8b\u306e\u8ffd\u52a0\u65b9\u6cd5<\/li>
\u30b0\u30e9\u30d5\u7dda\u8272\u306e\u5909\u66f4\u65b9\u6cd5<\/li><\/ul>\n<\/div>\n\n\n\n
Python\u5b66\u7fd2\u306e\u304a\u5f79\u306b\u7acb\u3066\u305f\u306a\u3089\u5e78\u3044\u3067\u3059\u3002<\/p>\n\n\n\n
\u72ec\u308a\u3067Python\u5b66\u7fd2\u3059\u308b\u306e\u306f\u5927\u5909\u3060\u306a\u3068\u601d\u3046\u65b9\u306f\u3001\u66f8\u7c4d\u3084\u30b9\u30af\u30fc\u30eb\u3092\u6d3b\u7528\u3059\u308b\u306e\u3082\u624b\u3067\u3059\u3002<\/p>\n\n\n\n